John Lockwood
CEO, Algo-Logic Systems
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John W. Lockwood, CEO, is an expert in building FPGA-accelerated applications. He has founded three companies in the areas of low latency networking, Internet security, and electronic commerce and has worked at the National Center for Supercomputing Applications (NCSA), AT&T Bell Laboratories, IBM, and Science Applications International Corp (SAIC). As a professor at Stanford University, he managed the NetFPGA program from 2007 to 2009 and grew the Beta program 10 to 1,021 cards deployed worldwide. As a tenured professor, he created and led the Reconfigurable Network Group within the Applied Research Laboratory at Washington University in St. Louis. He has published over 100 papers and patents on topics related to networking with FPGAs and served as served as principal investigator on dozens of federal and corporate grants. He holds BS, MS, PhD degrees in Electrical and Computer Engineering from the University of Illinois at Urbana/Champaign and is a member of IEEE, ACM, and Tau Beta Pi.
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Achieving a Half-Billion IOPs in a 1U REDIS server with FPGA Acceleration
Field Programmable Gate Arrays (FPGAs) are drastically increasing the speed of database servers. By implementing a Key-Value Store (KVS) entirely in FPGA logic, servers can offload time-critical queries from the CPU. In this work, we describe the architecture of a 1U server that uses an AMD CPU to implement a full REDIS database coupled with three Xilinx ALVEO FPGA cards that offload 450M GET or SET Input/Output operations per second (IOPs).
The 1U rack-mount server has 170 Gigabits/Second, of network bandwidth implemented using five QSFP+ Ethernet ports. Two of the ports are used to interface with REDIS on the host CPU, while the other three QSFP+ ports handle queries directly in FPGA logic. The Hiredis C client was modified so that queries for small, fast-moving values are sent to the FPGA instead of the CPU. Queries serviced by the FPGA card respond with a network latency of under 500 nanoseconds.
RedisConf 2020 Takeaway (Online) Sessionize Event
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